An Intuitionistic Fuzzy Soft Software Life Cycle Model
S. J. Kalayathankal1 , J. T. Abraham2 , J. V. Kureethara3
- Research and Development Centre, Bharathiar University, Coimbatore, India.
- Department of Computer Science, Bharatha Matha College, Cochin, India.
- Department of Mathematics and Statistics, Christ University, Bangalore, India.
Correspondence should be addressed to: sunnyjoseph2014@yahoo.com.
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-1 , Page no. 42-48, Jan-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i1.4248
Online published on Jan 31, 2018
Copyright © S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, “An Intuitionistic Fuzzy Soft Software Life Cycle Model,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.1, pp.42-48, 2018.
MLA Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara "An Intuitionistic Fuzzy Soft Software Life Cycle Model." International Journal of Computer Sciences and Engineering 6.1 (2018): 42-48.
APA Style Citation: S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, (2018). An Intuitionistic Fuzzy Soft Software Life Cycle Model. International Journal of Computer Sciences and Engineering, 6(1), 42-48.
BibTex Style Citation:
@article{Kalayathankal_2018,
author = {S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara},
title = {An Intuitionistic Fuzzy Soft Software Life Cycle Model},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2018},
volume = {6},
Issue = {1},
month = {1},
year = {2018},
issn = {2347-2693},
pages = {42-48},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1631},
doi = {https://doi.org/10.26438/ijcse/v6i1.4248}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i1.4248}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1631
TI - An Intuitionistic Fuzzy Soft Software Life Cycle Model
T2 - International Journal of Computer Sciences and Engineering
AU - S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara
PY - 2018
DA - 2018/01/31
PB - IJCSE, Indore, INDIA
SP - 42-48
IS - 1
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
1166 | 944 downloads | 407 downloads |
Abstract
Software engineering is a collaborative effort. It involves processes, people and technology. As a massive action, it needs sound evaluation techniques to ensure its efficacy and appropriateness. No software engineering firm look anything lower than the most efficient model. A proper build up will then decide the prospects including the successful completion of the project. This study intends to develop similarity measures between intuitionistic fuzzy soft sets (IFSSs). The proposed model is applied to five software life cycle models (SLCMs) so as to select the most appropriate one.
Key-Words / Index Term
Similarity measure, Software life cycle, Fuzzy decision making, Intuitionistic fuzzy soft sets
References
[1] B. Boehm, "A Spiral Model of Software Development and Enhancement", ACM SIGSOFT Software Engineering Notes, ACM, Vol. 11, No. 4, pp.14-24, August 1986.
[2] B. Efe, “An integrated fuzzy multi-criteria group decision-making approach for ERP system selection”, Applied Soft Computing, Vol. 38, pp.106 - 117, 2016.
[3] D. A. Wood, “Supplier selection for development of petroleum industry facilities, applying multi-criteria decision-making techniques including fuzzy and intuitionistic fuzzy TOPSIS with flexible entropy weighting”, Journal of Natural Gas Science and Engineering, Vol. 28, pp. 594 - 612, 2016.
[4] D. Molodtsov, “Soft Set Theory-First Results”, Computers and Mathematics with Applications,Vol. 37, pp. 19-31, 1999.
[5] G. Buyukozkan, C. Kahraman, D. Ruan, “A fuzzy multi-criteria decision approach for software development strategy selection”, International Journal of General Systems, Vol. 33, No. 2-3, pp. 259-280, 2015.
[6] G. Buyukozkan and D. Ruan, “Evaluation of software development projects using a fuzzy multi-criteria decision approach”, Mathematics and Computers in Simulation, Vol. 77, pp. 464 - 475, 2008.
[7] G. Singh and A. Kaur, “An Improved Fuzzy Logic System for Handoff Controller Design”, International Journal of Computer Sciences and Engineering, Vol. 3, No. 7, pp. 1-5, 2015.
[8] H. Wu and X. Su, “Group Generalized Interval-Valued Intuitionistic Fuzzy Soft Sets and Their Applications in Decision Making”, Iranian Journal of Fuzzy Systems, Vol. 14, No. 1, pp. 1-21, 2017.
[9] K. Atanassov, “Intuitionistic Fuzzy sets. Fuzzy Sets and Systems”, Vol. 20, pp. 87 - 96, 1985.
[10] K. Forsberg and H. Mooz, "The Relationship of System Engineering to the Project Cycle", in Proceedings of the First Annual Symposium of National Council on System Engineering, pp. 57–65, October 1991.
[11] L. A. Zadeh, “Fuzzy Sets”, Information and Control, Vol. 8, pp. 338 - 353, 1965.
[12] L. Abdullah and N. Zulkifli, “Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: An application to human resource management”, Expert Syst. Appl. Vol.42, No. 9, pp. 4397–4409, 2015.
[13] M. Hicdurmaz, “A Fuzzy Multi-Criteria Decision Making Approach to Software Life Cycle Model Selection”, 38th Euromicro Conference on Software Engineering and Advanced Applications, pp. 384-391, 2012.
[14] M. Saini and K. Kaur, "A Review of Open Source Software Development Life Cycle Models", International Journal of Software Engineering and Its Applications, Vol.8, No.3, pp.417-434, 2014.
[15] P. K. Maji, R. Biswas, A. R. Roy, “Fuzzy Soft Sets”, The Journal of Fuzzy Mathematics, Vol.9, No. 3, pp.589-602,2001.
[16] P. K. Maji, R. Biswas, A. R. Roy, “Intuitionistic Fuzzy Soft Sets”, The Journal of Fuzzy Mathematics, Vol. 9, No. 3, pp. 677-692, 2001.
[17] R. B. K. Dewar, G. A. Fisher Jr., E. Schonberg, R. Froelich, S. Bryant, C. F. Goss and M. Burke, "The NYU Ada Translator and Interpreter", ACM SIGPLAN Notices - Proceedings of the ACM-SIGPLAN Symposium on the Ada Programming Language, Vol. 15, No. 11, 194–201, November 1980.
[18] R. Kaur, Abhishek, S. Singh, “Inference of Gene Regulatory Network using Fuzzy Logic – A Review”, International Journal of Computer Sciences and Engineering, Vol. 4, No. 1, pp. 22–29, 2016.
[19] R. Kaura, S. Arora, P. C. Jhac and S. Madand, “Fuzzy Multi-criteria Approach for Component Selection of Fault-Tolerant Software System under Consensus Recovery Block Scheme”, Procedia Computer Science, Vol.45, pp. 842 – 851, 2015.
[20] S. J. Kalayathankal, J. T. Abraham, “A Fuzzy Decision-Making Approach to SLCM Selection”, International Journal of Civil Engineering and Technology, Vol. 8, No. 6, pp. 178-185, 2017.
[21] S. J. Kalayathankal, G.S. Singh, P. B. Vinodkumar, “Ordered Intuitionistic Fuzzy Soft Sets”, Journal of fuzzy mathematics, Vol.18, No. 4, pp. 991 - 998, 2010.
[22] S. J. Kalayathankal, J. T. Abraham, J. V. Kureethara, “A Modified Fuzzy Similarity Measure Decision Making Approach to SLCM Selection”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.32-39, 2017.
[23] S. J. Kalayathankal, J.T. Abraham, “A Fuzzy Soft Software Lifecycle Model”, International Journal of Civil Engineering and Technology, Vol. 8, No. 8, pp. 755-761, 2017.
[24] S. S. Ghuman, “SDLC Models- A Survey”, International Journal of Computer Science and Mobile Computing, Vol. 2, No. 1, pp. 33 – 38, January 2013
[25] T. L. Mien, “Design of Fuzzy Self-Tuning LQR Controller for Bus Active Suspension”, International Journal of Mechanical Engineering and Technology, Vol. 7, No. 6, pp. 493–501, 2016.
[26] T. Pressman, Software Engineering: A Practitioner`s Approach. Boston: McGraw Hill, pp. 41–42, 2010.
[27] W. Pedrycz, “System Modelling with Fuzzy Models: Fundamental Developments and Perspectives”, Iranian Journal of Fuzzy Systems, Vol. 13, No. 7, pp. 1-14,2016.
[28] W. Royce, "Managing the Development of Large Software Systems", Proceedings of IEEE WESCON, 26 (August): pp. 1–9, 1970.
[29] X. Wang, J. Wang and X. Chen, “Fuzzy Multi-Criteria Decision Making Method Based on Fuzzy Structured Element with Incomplete Weight Information”, Iranian Journal of Fuzzy Systems, Vol. 13, No. 2, pp. 1-17, 2016.